3D Segmentation and Visualization of Skin Vasculature Using Line-Field Confocal Optical Coherence Tomography by Oliver Mayer, Hanna Wirsching, Sophia Schlingmann, Julia Welzel, Sandra Schuh

“…These visualizations provide insights into vessel morphology, spatial arrangements, and blood flow patterns, which are crucial for assessing tumor growth and potential therapeutic responses. …”
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Normalized difference spectral indices and urban land cover as indicators of urban heat island effect: a case study of Patna Municipal Corporation by Manal Ahmad, Mohd Saqib, Syed Naushad Ahmad, Saleha Jamal, Aakib Yaqoob Mir

“…Alteration in Land use land cover over time have demonstrated their significant role in shaping the patterns of UHI observed across cities worldwide. This research endeavours to examine alterations in LULC, and Land surface temperature (LST) in the Patna Municipal Corporation (PMC), Bihar. …”
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An Online-Traffic-Prediction Based Route Finding Mechanism for Smart City by Xiaoguang Niu, Ying Zhu, Qingqing Cao, Xining Zhang, Wei Xie, Kun Zheng

“…O-Sense firstly exploits a deep learning approach to process spatial and temporal taxi GPS traces shown in dynamic patterns. …”
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Analysis of Seasonal Daytime Urban Thermal Environment Dynamics in a Tropical Coastal City Based on the Spatiotemporal Fusion Model by Yuan Yao, Yiling Lu, Fang Zhang, Lulu Liu, Min Liao

“…Finally, daytime LST patterns were classified, and the effects of seasonal variations of high-grade daytime LSTs were analyzed with landscape metrics. …”
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The impact of super typhoon on varying vegetation types in eastern coastal China: implications for coastal ecosystem and disaster risk management by Zexia Duan, Yichi Zhang, Sihui Fan, Tianbo Ji

“…Post-typhoon recovery patterns indicated that vegetation in Zhejiang, Jiangsu, and Shanghai took approximately four months to return to pre-disturbance levels, whereas that in Shandong recovered within two months. …”
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Assessment and application of tropical cyclone clustering in the South China Sea by Yan Yan, Nergui Nanding, Xiaomeng Li, Yifan Shi, Bing Chen

“…Each type has different characteristics in terms of lifespan, wind speed, frequency of occurrence, Power Dissipation Index, and the spatial distribution of accumulated rainfall. The influence of El Niño-Southern Oscillation (ENSO) is evident in the patterns of TC activity. …”
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Data quality and uncertainty issues in flood prediction: a systematic review by Jinhui Yu, Yichen Li, Xiao Huang, Xinyue Ye

“…The findings reveal that flood prediction relies on various data types, including hydrological data, rainfall patterns, infrastructure characteristics, and topographical information. …”
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Effects of pores on the superelasticity coupled with plasticity in nanocrystalline NiTi shape memory alloys: A molecular dynamic study by Xiang Zhu, Chenyan Liu, Yaguang Wang, Guansuo Dui

“…However, the influence mechanisms of pore characteristics (including quantity, shape, orientation, and spatial distribution) on the superelasticity and plasticity of nanocrystalline NiTi SMAs remain unclear. …”
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Multi-Microgrid Optimization With Electric Vehicle Mobile Energy Storage Considering Travel Characteristics by Xiaoyi Zhang, Jie Ma, Zheng Yang, Xiang Zhang, Yishuo Qiao, Yudong Du, Zhiwei Li

“…To address the economic challenges posed by the integration of a large number of electric vehicles (EVs) into microgrids, while leveraging their mobile energy storage (MES) capabilities and accounting for the impact of EV users’ travel patterns on charging and discharging behaviors, a microgrid scheduling model is proposed that incorporates the MES characteristics of EVs under user travel habits. …”
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Transcriptome profiling of tendon fibroblasts at the onset of embryonic muscle contraction reveals novel force-responsive genes by Pavan K Nayak, Arul Subramanian, Thomas F Schilling

“…Using embryos paralyzed either by loss of muscle contractility or neuromuscular stimulation we confirm that muscle contractile forces influence the spatial and temporal expression patterns of all three genes. …”
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Self-supervised learning reduces label noise in sharp wave ripple classification by Saber Graf, Pierre Meyrand, Cyril Herry, Tiaza Bem, Feng-Sheng Tsai

“…By utilizing SSL, we effectively relabel SWR data, leveraging the inherent structural patterns within time-series data to improve label quality without relying on external labeling. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Reinforcement learning models optimize power distribution by learning from historical patterns and adapting to changes in energy usage in real time. …”
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Full‐Spectrum Mechanochromic Photonic Films with Large Interparticle Distance by Hwan‐Young Lee, Jun‐Gu Kang, Young‐Seok Kim, Shin‐Hyun Kim

“…This allows red‐colored photonic composites to be transformed into vivid multicolor patterns when compressed with stamps featuring spatial height variations.…”
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Graphlet decomposition dataset of Tallinn’s road network from January 2020 OpenStreetMap dataGithub by Mahdi Rasoulinezhad, Nasim Eslamirad, Jenni Partanen

“…The resulting dataset enables researchers to identify recurring patterns in urban street networks, study urban morphology, and compare structural similarities between different urban areas. …”
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Multi-Timescale Fault Interactions and Earthquakes: A Review by Mian Liu

“…The nonlinear interactions between faults make them complex dynamic systems, where individual fault behavior is difficult to predict, but studying fault interactions can enhance our understanding of seismicity patterns of the fault systems.…”
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Dynamic allocation of regional shared parking spaces based on assignment problem model by Shuo Zheng, Ruijun Guo

“…By analyzing the usage patterns of parking areas, the relationship between supply and demand over time can be represented in a binomial form. …”
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A linear tessellation model for the identification of "food desert": A case study of Shanghai, China. by Lu Wang, Yakun He, Zhonghai Yu, Hongrui Wang, Wenjuan Ye, Xin Li, Yingping Liu, Junxiao Zhang

“…Finally, the resident income conditions in different modes are fitted based on the housing price data and the spatial distribution of four "food desert" patterns are detected by the overlay analysis of food accessibility and resident income conditions. …”
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Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…The enhanced images are fed into a modified AlexNet model with three residual blocks to efficiently extract both spatial and temporal features from the CWT images. …”
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Unraveling the immune evasion mechanisms in the tumor microenvironment of head and neck squamous cell carcinoma by Xuri Zhao, Yaping Zhu, Youya He, Weiyan Gu, Qi Zhou, Bei Jin, Shenguo Chen, Haisheng Lin

“…Recent advancements have highlighted the intricate interplay between immune cell infiltration patterns, immune checkpoint dysregulation, and metabolic reprogramming in driving HNSCC immune escape. …”
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Fast and Accurate Plane Wave and Color Doppler Imaging with the FOCUS Software Package by Jacob S. Honer, Robert J. McGough

“…Simulation results demonstrate rapid convergence and lower error rates compared to conventional spatial impulse response methods and Field II, resulting in substantial reductions in computation time. …”
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